DISPERSION MEASURES

DISPERSION MEASURES

1. Dispersion measures can be defined as numerical values whose purpose is to analyze the degree of separation of the values of a statistical series with respect to the measures of central tendency considered.

2. Absolute dispersion measures: Such as range, mean deviation, variance, and standard deviation, which are used in general statistical analyses.

3. Relative dispersion measures: These are more technical parameters used in specific studies, and among them are the opening coefficients, the relative path, the coefficient of variation and the median dispersion index.

4. Types

5. They are made up of

   • RANGE OR TRAVEL: It is the difference between the largest data value and the smallest.
   • INTERQUARTILE RANGE OR ROUTE: It is the difference between the third quartile and the first, the range where the central 50% of the data is found.
   • MEAN DEVIATION The mean deviation is the mean of the distance of the data values (in absolute value) from the mean.
   • VARIANCE the variance is going to be the mean of the square of the distance of the data values from the mean.
   • TYPICAL DEVIATION We define the standard deviation as the square root of the variance.

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